Simplifying Graph Convolutional Networks

19 February 2019

Papers citing "Simplifying Graph Convolutional Networks"

50 / 1,391 papers shown

Title
Graph Signal Sampling for Inductive One-Bit Matrix Completion: a Closed-form Solution Chao Chen Haoyu Geng Gang Zeng Zhaobing Han Hua Chai Xiaokang Yang Junchi Yan 18 2 0 08 Feb 2023
Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks Shuai Zhang Ming Wang Pin-Yu Chen Sijia Liu Songtao Lu Miaoyuan Liu MLT 29 16 0 06 Feb 2023
Spectral Augmentations for Graph Contrastive Learning Amur Ghose Yingxue Zhang Jianye Hao Mark J. Coates 34 7 0 06 Feb 2023
Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing Yunchong Song Cheng Zhou Xinbing Wang Zhouhan Lin 37 64 0 03 Feb 2023
LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation Rui Xue Haoyu Han MohamadAli Torkamani Jian Pei Xiaorui Liu GNN 36 21 0 03 Feb 2023
Graph Neural Networks for temporal graphs: State of the art, open challenges, and opportunities Antonio Longa Veronica Lachi G. Santin Monica Bianchini Bruno Lepri Pietro Lio F. Scarselli Andrea Passerini AI4CE 28 52 0 02 Feb 2023
GraphAGILE: An FPGA-based Overlay Accelerator for Low-latency GNN Inference Bingyi Zhang Hanqing Zeng Viktor Prasanna GNN 29 16 0 02 Feb 2023
Simple yet Effective Gradient-Free Graph Convolutional Networks Yulin Zhu Xing Ai Qimai Li Xiao-Ming Wu Kai Zhou 21 0 0 01 Feb 2023
OrthoReg: Improving Graph-regularized MLPs via Orthogonality Regularization Hengrui Zhang Shen Wang V. Ioannidis Soji Adeshina Jiani Zhang Xiao Qin Christos Faloutsos Da Zheng George Karypis Philip S. Yu 32 4 0 31 Jan 2023
Robust Attributed Graph Alignment via Joint Structure Learning and Optimal Transport Jianheng Tang Jiexia Ye Jiajin Li Kangfei Zhao Fugee Tsung Jia Li OT 20 19 0 30 Jan 2023
Simplifying Subgraph Representation Learning for Scalable Link Prediction Paul Louis Shweta Ann Jacob Amirali Salehi-Abari 18 8 0 29 Jan 2023
Convolutional Learning on Simplicial Complexes Maosheng Yang Elvin Isufi 29 19 0 26 Jan 2023
Federated Learning over Coupled Graphs Runze Lei Peijie Wang Junzhou Zhao Lin Lan Jing Tao Chao Deng Junlan Feng Xidian Wang Xiaohong Guan FedML 16 14 0 26 Jan 2023
Graph Neural Networks can Recover the Hidden Features Solely from the Graph Structure Ryoma Sato 37 5 0 26 Jan 2023
Understanding and Improving Deep Graph Neural Networks: A Probabilistic Graphical Model Perspective Jiayuan Chen Xiang Zhang Yinfei Xu Tianli Zhao Renjie Xie Wei Xu GNN BDL 29 0 0 25 Jan 2023
DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion Qitian Wu Chenxiao Yang Wen-Long Zhao Yixuan He David Wipf Junchi Yan DiffM 32 83 0 23 Jan 2023
DoubleH: Twitter User Stance Detection via Bipartite Graph Neural Networks Chong Zhang Zhenkun Zhou X. Peng Ke Xu 27 3 0 20 Jan 2023
Everything is Connected: Graph Neural Networks Petar Velickovic GNN AI4CE 25 179 0 19 Jan 2023
Adaptive Depth Graph Attention Networks Jingbo Zhou Yixuan Du Ruqiong Zhang Rui Zhang GNN 41 1 0 16 Jan 2023
Classification of vertices on social networks by multiple approaches Hacı İsmail Aslan Chang Choi Hoon Ko 27 0 0 13 Jan 2023
A Network Science perspective of Graph Convolutional Networks: A survey Mingshan Jia Bogdan Gabrys Katarzyna Musial GNN 32 7 0 12 Jan 2023
Beyond Graph Convolutional Network: An Interpretable Regularizer-centered Optimization Framework Shiping Wang Zhihao Wu Yuhong Chen Yongzhe Chen GNN BDL 26 13 0 11 Jan 2023
Learning Feature Recovery Transformer for Occluded Person Re-identification Boqiang Xu Lingxiao He Jian Liang Zhenan Sun ViT 25 53 0 05 Jan 2023
RELIANT: Fair Knowledge Distillation for Graph Neural Networks Yushun Dong Binchi Zhang Yiling Yuan Na Zou Qi Wang Jundong Li 85 13 0 03 Jan 2023
NetEffect: Discovery and Exploitation of Generalized Network Effects Meng-Chieh Lee Shubhranshu Shekhar Jaemin Yoo Christos Faloutsos 35 1 0 31 Dec 2022
PersonaSAGE: A Multi-Persona Graph Neural Network G. Choudhary I. Burhanuddin Eunyee Koh F. Du Ryan A. Rossi 35 0 0 28 Dec 2022
Homophily modulates double descent generalization in graph convolution networks Chengzhi Shi Liming Pan Hong Hu Ivan Dokmanić 42 9 0 26 Dec 2022
Multi-duplicated Characterization of Graph Structures using Information Gain Ratio for Graph Neural Networks Yuga Oishi Ken Kaneiwa 33 1 0 24 Dec 2022
Graph Learning with Localized Neighborhood Fairness April Chen Ryan A. Rossi Nedim Lipka Jane Hoffswell G. Chan Shunan Guo E. Koh Sungchul Kim Nesreen K. Ahmed FaML 19 6 0 22 Dec 2022
Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Neural Networks Sitao Luan Mingde Zhao Chenqing Hua Xiao-Wen Chang Doina Precup GNN 21 33 0 21 Dec 2022
Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs Chenxiao Yang Qitian Wu Jiahua Wang Junchi Yan AI4CE 24 51 0 18 Dec 2022
Deep Learning Methods for Calibrated Photometric Stereo and Beyond Yakun Ju K. Lam Wuyuan Xie Huiyu Zhou Junyu Dong Boxin Shi 24 35 0 16 Dec 2022
Non-IID Transfer Learning on Graphs Jun Wu Jingrui He Elizabeth Ainsworth OOD 13 34 0 15 Dec 2022
MA-GCL: Model Augmentation Tricks for Graph Contrastive Learning Xumeng Gong Cheng Yang Chuan Shi VLM 22 41 0 14 Dec 2022
Scalable Graph Convolutional Network Training on Distributed-Memory Systems G. Demirci Aparajita Haldar Hakan Ferhatosmanoglu GNN 41 9 0 09 Dec 2022
Node-oriented Spectral Filtering for Graph Neural Networks Shuai Zheng Zhenfeng Zhu Zhizhe Liu Youru Li Yao-Min Zhao 28 16 0 07 Dec 2022
PyGFI: Analyzing and Enhancing Robustness of Graph Neural Networks Against Hardware Errors Ruixuan Wang Fred Lin Daniel Moore Sriram Sankar Xun Jiao 14 1 0 07 Dec 2022
On the Trade-off between Over-smoothing and Over-squashing in Deep Graph Neural Networks Jhony H. Giraldo Konstantinos Skianis T. Bouwmans Fragkiskos D. Malliaros 29 46 0 05 Dec 2022
Dissimilar Nodes Improve Graph Active Learning Zhicheng Ren Yifu Yuan Yuxin Wu Xiaxuan Gao Yewen Wang Yizhou Sun 21 3 0 05 Dec 2022
kHGCN: Tree-likeness Modeling via Continuous and Discrete Curvature Learning Menglin Yang Min Zhou Lujia Pan Irwin King 34 18 0 04 Dec 2022
Spectral Feature Augmentation for Graph Contrastive Learning and Beyond Yifei Zhang Hao Zhu Zixing Song Piotr Koniusz Irwin King 50 87 0 02 Dec 2022
Hierarchical Model Selection for Graph Neural Netoworks Yuga Oishi Ken Kaneiwa 28 0 0 01 Dec 2022
Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces Li Sun Junda Ye Hao Peng Feiyang Wang Philip S. Yu CLL 34 32 0 30 Nov 2022
Handling Missing Data via Max-Entropy Regularized Graph Autoencoder Zi-Chao Gao Yifan Niu Jiashun Cheng Jianheng Tang Tingyang Xu P. Zhao Lanqing Li Fugee Tsung Jia Li 33 12 0 30 Nov 2022
Confidence-Aware Graph Neural Networks for Learning Reliability Assessment Commitments Seonho Park Wenbo Chen Dahyeon Han Mathieu Tanneau Pascal Van Hentenryck 41 28 0 28 Nov 2022
You Can Have Better Graph Neural Networks by Not Training Weights at All: Finding Untrained GNNs Tickets Tianjin Huang Tianlong Chen Meng Fang Vlado Menkovski Jiaxu Zhao ... Yulong Pei Decebal Constantin Mocanu Zhangyang Wang Mykola Pechenizkiy Shiwei Liu GNN 52 14 0 28 Nov 2022
Deep representation learning: Fundamentals, Perspectives, Applications, and Open Challenges K. T. Baghaei Amirreza Payandeh Pooya Fayyazsanavi Shahram Rahimi Zhiqian Chen Somayeh Bakhtiari Ramezani FaML AI4TS 38 6 0 27 Nov 2022
Interpreting Unfairness in Graph Neural Networks via Training Node Attribution Yushun Dong Song Wang Jing Ma Ninghao Liu Jundong Li 44 21 0 25 Nov 2022
GREAD: Graph Neural Reaction-Diffusion Networks Jeongwhan Choi Seoyoung Hong Noseong Park Sung-Bae Cho DiffM GNN 26 27 0 25 Nov 2022
Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating Yixin Liu Yizhen Zheng Daokun Zhang V. Lee Shirui Pan 36 71 0 25 Nov 2022